Bicara Therapeutics (BCAX) Price to Book (2024 - 2026)
Bicara Therapeutics' (BCAX) Price to Book came in at 4.18 for Q2 2026, up 258.6% from 1.16 a year earlier and up 64.6% from the prior quarter.
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Analysis
Bicara Therapeutics (BCAX) Price to Book (2024 - 2026) Analysis & Trends
For FY2025, Bicara Therapeutics' Price to Book stood at 2.37, up 298.7% from FY2024.
- In prior years, Bicara Therapeutics' Price to Book was 0.60 in FY2024.
- The Q2 2026 figure stands as the highest quarterly Price to Book in data going back to Q3 2024.
- On a year-over-year basis, Price to Book has increased in each of the last four quarters, with growth averaging 228.5% over the last four quarters.
- According to Business Quant data, Price to Book for the three prior quarters was 2.54 (Q1 2026), 2.37 (Q4 2025) and 2.14 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn |
| 10 | Bicara Therapeutics | 1.23 Bn | 1.23 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.18 |
| Mar 31, 2026 | 2.54 |
| Dec 31, 2025 | 2.37 |
| Sep 30, 2025 | 2.14 |
| Jun 30, 2025 | 1.16 |
| Mar 31, 2025 | 1.55 |
| Dec 31, 2024 | 0.60 |
| Sep 30, 2024 | 0.54 |
API Access
Bicara Therapeutics Price to Book API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=price-to-book&ticker=BCAX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "ticker": "BCAX", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=price-to-book&ticker=BCAX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();